Carey E. Priebe
Orcid: 0000-0002-0139-7201
According to our database1,
Carey E. Priebe
authored at least 188 papers
between 1988 and 2024.
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Bibliography
2024
Correcting a nonparametric two-sample graph hypothesis test for graphs with different numbers of vertices with applications to connectomics.
Appl. Netw. Sci., December, 2024
Discovering Communication Pattern Shifts in Large-Scale Labeled Networks Using Encoder Embedding and Vertex Dynamics.
IEEE Trans. Netw. Sci. Eng., 2024
2023
Discovering a change point and piecewise linear structure in a time series of organoid networks via the iso-mirror.
Appl. Netw. Sci., December, 2023
Appl. Netw. Sci., December, 2023
Stat. Comput., April, 2023
Numerical Tolerance for Spectral Decompositions of Random Matrices and Applications to Network Inference.
J. Comput. Graph. Stat., January, 2023
CoRR, 2023
Discovering Communication Pattern Shifts in Large-Scale Networks using Encoder Embedding and Vertex Dynamics.
CoRR, 2023
CoRR, 2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Proceedings of the Conference on Lifelong Learning Agents, 2023
Proceedings of the 2nd International Conference on Algorithms, 2023
2022
J. Comput. Graph. Stat., October, 2022
On Spectral Algorithms for Community Detection in Stochastic Blockmodel Graphs With Vertex Covariates.
IEEE Trans. Netw. Sci. Eng., 2022
Entrywise Estimation of Singular Vectors of Low-Rank Matrices With Heteroskedasticity and Dependence.
IEEE Trans. Inf. Theory, 2022
IEEE Trans. Pattern Anal. Mach. Intell., 2022
Change point localization in dependent dynamic nonparametric random dot product graphs.
J. Mach. Learn. Res., 2022
ART-SS: An Adaptive Rejection Technique for Semi-Supervised restoration for adverse weather-affected images.
CoRR, 2022
Bilingual Lexicon Induction for Low-Resource Languages using Graph Matching via Optimal Transport.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
ART-SS: An Adaptive Rejection Technique for Semi-supervised Restoration for Adverse Weather-Affected Images.
Proceedings of the Computer Vision - ECCV 2022, 2022
2021
Graph Matching Between Bipartite and Unipartite Networks: To Collapse, or Not to Collapse, That Is the Question.
IEEE Trans. Netw. Sci. Eng., 2021
Eliminating accidental deviations to minimize generalization error and maximize replicability: Applications in connectomics and genomics.
PLoS Comput. Biol., 2021
Limit theorems for out-of-sample extensions of the adjacency and Laplacian spectral embeddings.
J. Mach. Learn. Res., 2021
J. Mach. Learn. Res., 2021
Simultaneous Dimensionality and Complexity Model Selection for Spectral Graph Clustering.
J. Comput. Graph. Stat., 2021
J. Comput. Graph. Stat., 2021
CoRR, 2021
Dynamic Silos: Modularity in intra-organizational communication networks before and during the Covid-19 pandemic.
CoRR, 2021
Beyond the adjacency matrix: random line graphs and inference for networks with edge attributes.
CoRR, 2021
The phantom alignment strength conjecture: practical use of graph matching alignment strength to indicate a meaningful graph match.
Appl. Netw. Sci., 2021
An Analysis of Euclidean vs. Graph-Based Framing for Bilingual Lexicon Induction from Word Embedding Spaces.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021
2020
Sparse Representation Classification Beyond ℓ1 Minimization and the Subspace Assumption.
IEEE Trans. Inf. Theory, 2020
IEEE Trans. Pattern Anal. Mach. Intell., 2020
Variability and heritability of mouse brain structure: Microscopic MRI atlases and connectomes for diverse strains.
NeuroImage, 2020
Vertex nomination: The canonical sampling and the extended spectral nomination schemes.
Comput. Stat. Data Anal., 2020
On identifying unobserved heterogeneity in stochastic blockmodel graphs with vertex covariates.
CoRR, 2020
On the role of features in vertex nomination: Content and context together are better (sometimes).
CoRR, 2020
Learning 1-Dimensional Submanifolds for Subsequent Inference on Random Dot Product Graphs.
CoRR, 2020
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020
2019
On spectral embedding performance and elucidating network structure in stochastic blockmodel graphs.
Netw. Sci., 2019
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019
2018
Proceedings of the 23rd ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2018
Proceedings of the 35th International Conference on Machine Learning, 2018
2017
IEEE Trans. Parallel Distributed Syst., 2017
IEEE Trans. Netw. Sci. Eng., 2017
Pattern Recognit. Lett., 2017
J. Mach. Learn. Res., 2017
A statistical interpretation of spectral embedding: the generalised random dot product graph.
CoRR, 2017
A Central Limit Theorem for an Omnibus Embedding of Multiple Random Dot Product Graphs.
Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017
knor: A NUMA-Optimized In-Memory, Distributed and Semi-External-Memory k-means Library.
Proceedings of the 26th International Symposium on High-Performance Parallel and Distributed Computing, 2017
2016
Posterior Probability Modeling and Image Classification for Archaeological Site Prospection: Building a Survey Efficacy Model for Identifying Neolithic Felsite Workshops in the Shetland Islands.
Remote. Sens., 2016
IEEE Trans. Pattern Anal. Mach. Intell., 2016
A Model Selection Approach for Clustering a Multinomial Sequence with Non-Negative Factorization.
IEEE Trans. Pattern Anal. Mach. Intell., 2016
On the Consistency of the Likelihood Maximization Vertex Nomination Scheme: Bridging the Gap Between Maximum Likelihood Estimation and Graph Matching.
J. Mach. Learn. Res., 2016
FlashMatrix: Parallel, Scalable Data Analysis with Generalized Matrix Operations using Commodity SSDs.
CoRR, 2016
Semi-External Memory Sparse Matrix Multiplication on Billion-node Graphs in a Multicore Architecture.
CoRR, 2016
CoRR, 2016
J. Classif., 2016
2015
J. Am. Medical Informatics Assoc., 2015
Frontiers Neuroinformatics, 2015
Comput. Oper. Res., 2015
Proceedings of the 13th USENIX Conference on File and Storage Technologies, 2015
2014
IEEE Trans. Signal Process., 2014
Consistent Latent Position Estimation and Vertex Classification for Random Dot Product Graphs.
IEEE Trans. Pattern Anal. Mach. Intell., 2014
J. Multivar. Anal., 2014
2013
IEEE Trans. Signal Process., 2013
Consistent Adjacency-Spectral Partitioning for the Stochastic Block Model When the Model Parameters Are Unknown.
SIAM J. Matrix Anal. Appl., 2013
Pattern Recognit. Lett., 2013
Pattern Recognit. Lett., 2013
Graph Classification Using Signal-Subgraphs: Applications in Statistical Connectomics.
IEEE Trans. Pattern Anal. Mach. Intell., 2013
Multiscale Model. Simul., 2013
IEEE J. Sel. Top. Signal Process., 2013
Proceedings of the Machine Learning in Medical Imaging - 4th International Workshop, 2013
Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013
Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013
2012
Quantitative Horizon Scanning for Mitigating Technological Surprise: Detecting the Potential for Collaboration at the Interface.
Stat. Anal. Data Min., 2012
Stat. Anal. Data Min., 2012
Proceedings of the IEEE Statistical Signal Processing Workshop, 2012
Proceedings of the 11th International Conference on Machine Learning and Applications, 2012
2011
IEEE Trans. Pattern Anal. Mach. Intell., 2011
J. Oper. Res. Soc., 2011
Proceedings of the 45st Annual Conference on Information Sciences and Systems, 2011
2010
Math. Methods Oper. Res., 2010
A Graph-Search Based Navigation Algorithm for Traversing A Potentially Hazardous Area with Disambiguation.
Int. J. Oper. Res. Inf. Syst., 2010
Statistical inference on attributed random graphs: Fusion of graph features and content: An experiment on time series of Enron graphs.
Comput. Stat. Data Anal., 2010
Statistical inference on attributed random graphs: Fusion of graph features and content.
Comput. Stat. Data Anal., 2010
Dimensionality Reduction on the Cartesian Product of Embeddings of Multiple Dissimilarity Matrices.
J. Classif., 2010
Proceedings of the IEEE International Conference on Acoustics, 2010
2009
On the monotone likelihood ratio property for the convolution of independent binomial random variables.
Discret. Appl. Math., 2009
Statistical Analysis of Hippocampus Shape Using a Modified Mann-Whitney-Wilcoxon Test.
Proceedings of the Bio-Science and Bio-Technology, 2009
2008
Comput. Stat. Data Anal., 2008
Comput. Stat. Data Anal., 2008
Proceedings of the 2008 IEEE International Symposium on Information Theory, 2008
2007
IEEE Trans. Syst. Man Cybern. Part A, 2007
A data-adaptive methodology for finding an optimal weighted generalized Mann-Whitney-Wilcoxon statistic.
Comput. Stat. Data Anal., 2007
Proceedings of the Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics, 2007
Iterative Denoising using Jensen-Renyi Divergences with an Application to Unsupervised Document Categorization.
Proceedings of the IEEE International Conference on Acoustics, 2007
Hippocampus Shape-Space Analysis of Clinically Depressed, High Risk, and Control Populations.
Proceedings of the Frontiers in the Convergence of Bioscience and Information Technologies 2007, 2007
Validation of Alternating Kernel Mixture Method Based Segmentation of the Human Brain.
Proceedings of the Frontiers in the Convergence of Bioscience and Information Technologies 2007, 2007
2006
On the distribution of the domination number of a new family of parametrized random digraphs.
Model. Assist. Stat. Appl., 2006
Discret. Appl. Math., 2006
Comput. Stat. Data Anal., 2006
2005
J. Classif., 2005
Unsupervised classification via decision trees: an information-theoretic perspective.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005
Biomedical Informatics Research Network: Integrating Multi-Site Neuroimaging Data Acquisition, Data Sharing and Brain Morphometric Processing.
Proceedings of the 18th IEEE Symposium on Computer-Based Medical Systems (CBMS 2005), 2005
2004
IEEE Trans. Medical Imaging, 2004
IEEE Trans. Pattern Anal. Mach. Intell., 2004
2003
Pattern Recognit., 2003
Class cover catch digraphs for latent class discovery in gene expression monitoring by DNA microarrays.
Comput. Stat. Data Anal., 2003
Semi-automated segmentation of cortical subvolumes via hierarchical mixture modeling.
Proceedings of the Medical Imaging 2003: Image Processing, 2003
2002
IEEE Trans. Medical Imaging, 2002
Int. J. Image Graph., 2002
2001
IEEE Trans. Pattern Anal. Mach. Intell., 2001
2000
Exact mean and mean squared error of the smoothed bootstrap mean integrated squared error estimator.
Comput. Stat., 2000
1998
Stat. Comput., 1998
Detection of Microcalcification Clusters in Digital Mammography Via the Spatial Scan Statistic with Stochastic Scan Partitions.
Proceedings of the Digital Mammography, 1998
1997
Pattern Recognit., 1997
IEEE Trans. Pattern Anal. Mach. Intell., 1997
1995
A PDP Approach to Localized Fractal Dimension Computation with Segmentation Boundaries.
Simul., 1995
Mammographic Computer-Assisted Diagnosis using Computational Statistics Pattern Recognition.
Real Time Imaging, 1995
1994
Pattern Recognit. Lett., 1994
The detection of micro-calcifications in mammographic images using high dimensional features.
Proceedings of the Seventh Annual IEEE Symposium on Computer-Based Medical Systems (CBMS'94), 1994
1993
IEEE Trans. Syst. Man Cybern., 1993
1992
Simul., 1992
1991
Pattern Recognit., 1991
1988
Proceedings of International Conference on Neural Networks (ICNN'88), 1988